World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
40
Citations
7111
World Ranking
7268
National Ranking
452

Ian J Craddock publication distribution in Engineering and Technology in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Engineering and Technology in 2026. The highlighted bar marks where Ian J Craddock sits on this spectrum.

38–47 publications: 20 scientists 48–57 publications: 35 scientists 58–67 publications: 96 scientists 68–77 publications: 135 scientists 78–87 publications: 190 scientists 88–97 publications: 259 scientists 98–107 publications: 283 scientists 108–117 publications: 369 scientists 118–127 publications: 341 scientists 128–137 publications: 386 scientists 138–147 publications: 372 scientists 148–157 publications: 457 scientists 158–167 publications: 415 scientists 168–177 publications: 407 scientists 178–187 publications: 421 scientists 188–197 publications: 378 scientists 198–207 publications: 403 scientists 208–217 publications: 317 scientists 218–227 publications: 346 scientists 228–237 publications: 321 scientists 238–247 publications: 260 scientists 248–257 publications: 280 scientists 258–267 publications: 240 scientists 268–277 publications: 214 scientists 278–287 publications: 242 scientists 288–297 publications: 203 scientists 298–307 publications: 166 scientists 308–317 publications: 154 scientists 318–327 publications: 175 scientists 328–337 publications: 159 scientists 338–347 publications: 99 scientists 348–357 publications: 131 scientists 358–367 publications: 106 scientists 368–377 publications: 118 scientists 378–387 publications: 97 scientists 388–397 publications: 108 scientists 398–407 publications: 82 scientists 408–417 publications: 71 scientists 418–427 publications: 64 scientists 428–437 publications: 55 scientists 438–447 publications: 54 scientists 448–457 publications: 60 scientists 458–467 publications: 47 scientists 468–477 publications: 40 scientists 478–487 publications: 30 scientists 488–497 publications: 29 scientists 498–507 publications: 38 scientists 508–517 publications: 40 scientists 518–527 publications: 32 scientists 528–537 publications: 23 scientists 538–547 publications: 28 scientists 548–557 publications: 23 scientists 558–567 publications: 19 scientists 568–577 publications: 16 scientists 578–587 publications: 17 scientists 588–597 publications: 18 scientists 598–607 publications: 22 scientists 608–617 publications: 15 scientists 618–627 publications: 9 scientists 628–637 publications: 11 scientists 638–647 publications: 21 scientists 648–657 publications: 12 scientists 658–667 publications: 9 scientists 668–677 publications: 11 scientists 678–687 publications: 9 scientists 688–697 publications: 6 scientists 698–707 publications: 14 scientists 708–717 publications: 7 scientists 718–727 publications: 8 scientists 728–737 publications: 10 scientists 738–747 publications: 9 scientists 748–757 publications: 5 scientists 758–767 publications: 5 scientists 768–777 publications: 11 scientists 778–787 publications: 7 scientists 788–797 publications: 2 scientists 798–803 publications: 4 scientists 804+ publications: 100 scientists
38 publications 804+

This scientist: 297 publications — 75th percentile

75% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 804 publications or more.

Ian J Craddock D-index placement in Engineering and Technology in 2026

The chart shows the D-index (discipline H-index) distribution of Engineering and Technology scientists ranked by Research.com in 2026. The highlighted bar marks where Ian J Craddock sits on this spectrum.

30 D-Index: 59 scientists 31 D-Index: 114 scientists 32 D-Index: 129 scientists 33 D-Index: 189 scientists 34 D-Index: 200 scientists 35 D-Index: 262 scientists 36 D-Index: 311 scientists 37 D-Index: 312 scientists 38 D-Index: 350 scientists 39 D-Index: 385 scientists 40 D-Index: 348 scientists 41 D-Index: 362 scientists 42 D-Index: 426 scientists 43 D-Index: 380 scientists 44 D-Index: 310 scientists 45 D-Index: 341 scientists 46 D-Index: 301 scientists 47 D-Index: 306 scientists 48 D-Index: 271 scientists 49 D-Index: 246 scientists 50 D-Index: 210 scientists 51 D-Index: 253 scientists 52 D-Index: 213 scientists 53 D-Index: 221 scientists 54 D-Index: 195 scientists 55 D-Index: 186 scientists 56 D-Index: 170 scientists 57 D-Index: 167 scientists 58 D-Index: 166 scientists 59 D-Index: 144 scientists 60 D-Index: 152 scientists 61 D-Index: 141 scientists 62 D-Index: 138 scientists 63 D-Index: 131 scientists 64 D-Index: 118 scientists 65 D-Index: 114 scientists 66 D-Index: 119 scientists 67 D-Index: 95 scientists 68 D-Index: 87 scientists 69 D-Index: 77 scientists 70 D-Index: 89 scientists 71 D-Index: 69 scientists 72 D-Index: 54 scientists 73 D-Index: 46 scientists 74 D-Index: 55 scientists 75 D-Index: 54 scientists 76 D-Index: 49 scientists 77 D-Index: 53 scientists 78 D-Index: 46 scientists 79 D-Index: 28 scientists 80 D-Index: 39 scientists 81 D-Index: 36 scientists 82 D-Index: 24 scientists 83 D-Index: 26 scientists 84 D-Index: 36 scientists 85 D-Index: 18 scientists 86 D-Index: 25 scientists 87 D-Index: 19 scientists 88 D-Index: 26 scientists 89 D-Index: 27 scientists 90 D-Index: 23 scientists 91 D-Index: 15 scientists 92 D-Index: 12 scientists 93 D-Index: 9 scientists 94 D-Index: 15 scientists 95 D-Index: 10 scientists 96 D-Index: 13 scientists 97 D-Index: 13 scientists 98 D-Index: 9 scientists 99 D-Index: 7 scientists 100 D-Index: 7 scientists 101 D-Index: 8 scientists 102 D-Index: 7 scientists 103 D-Index: 7 scientists 104 D-Index: 9 scientists 105 D-Index: 6 scientists 106 D-Index: 9 scientists 107+ D-Index: 99 scientists
30 D-Index 107+

This scientist: 40 D-Index — 27th percentile

27% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 107 D-Index or more.

Research.com Recognitions

  • 2016 - IEEE Fellow For leadership in imaging for healthcare applications

Overview

Ian J Craddock is affiliated with the University of Bristol in the United Kingdom. They have contributed extensively to research intersecting computer science and medicine, with a particular focus on technology applications in healthcare.

Their main fields of study include Computer Science and Medicine, with subfields emphasizing Computer Vision and Pattern Recognition, Neurology, Electrical and Electronic Engineering, Psychiatry and Mental Health, and Biomedical Engineering.

Ian J Craddock's research spans a range of topics including:

  • Context-Aware Activity Recognition Systems
  • Parkinson's Disease Mechanisms and Treatments
  • Indoor and Outdoor Localization Technologies
  • Dementia and Cognitive Impairment Research
  • Balance, Gait, and Falls Prevention
  • IoT and Edge/Fog Computing
  • Mobile Health and mHealth Applications

Their recent papers demonstrate a focus on human activity recognition, health monitoring, and Parkinson's disease. Notable publications include:

  • "Systematic Review Looking at the Use of Technology to Measure Free-Living Symptom and Activity Outcomes in Parkinson's Disease in the Home or a Home-like Environment," 2020, Journal of Parkinson's Disease
  • "OPERAnet, a multimodal activity recognition dataset acquired from radio frequency and vision-based sensors," 2022, Scientific Data
  • "TSCH Networks for Health IoT," 2020, ACM Transactions on Internet of Things
  • "An active semi-supervised deep learning model for human activity recognition," 2022, Journal of Ambient Intelligence and Humanized Computing
  • "An Automatic Gait Analysis Pipeline for Wearable Sensors: A Pilot Study in Parkinson's Disease," 2021, Sensors

Ian J Craddock frequently publishes in venues such as arXiv (Cornell University), JMIR Formative Research, Scientific Data, Sensors, and JMIR Human Factors.

They have collaborated frequently with several scholars, including Ryan McConville, Raúl Santos-Rodríguez, Emma L. Tonkin, Alan Whone, and Catherine Morgan.

In recognition of their contributions, Ian J Craddock was named an IEEE Fellow in 2016 for leadership in imaging for healthcare applications.

Best Publications

  • Radar-Based Breast Cancer Detection Using a Hemispherical Antenna Array—Experimental Results

    M. Klemm;I.J. Craddock;J.A. Leendertz;A. Preece

  • Bridging e-Health and the Internet of Things: The SPHERE Project

    Ni Zhu;Tom Diethe;Massimo Camplani;Lili Tao

  • Microwave Radar-Based Differential Breast Cancer Imaging: Imaging in Homogeneous Breast Phantoms and Low Contrast Scenarios

    Maciej Klemm;Jack A Leendertz;David Gibbins;Ian J Craddock

  • Microwave Radar-Based Breast Cancer Detection: Imaging in Inhomogeneous Breast Phantoms

    M. Klemm;J.A. Leendertz;D. Gibbins;I.J. Craddock

  • A Comparison of a Wide-Slot and a Stacked Patch Antenna for the Purpose of Breast Cancer Detection

    D. Gibbins;M. Klemm;I.J. Craddock;J.A. Leendertz

  • MARIA M4: clinical evaluation of a prototype ultrawideband radar scanner for breast cancer detection

    Alan W Preece;Ian J Craddock;Michael H Shere;Lyn I L Jones

  • 2015 9th European Conference on Antennas and Propagation (EuCAP 2015)

    Raquel Conceicao;Dallan B Byrne;Navid Ghavami;Penny Probert Smith

  • A Flexible 2.45-GHz Power Harvesting Wristband With Net System Output From −24.3 dBm of RF Power

    Salah-Eddine Adami;Plamen Proynov;Geoffrey S. Hilton;Guang Yang

  • Improved Delay-and-Sum Beamforming Algorithm for Breast Cancer Detection

    Maciej Klemm;Ian J Craddock;JA Leendertz;AW Preece

  • Experimental and clinical results of breast cancer detection using UWB microwave radar

    M. Klemm;I. Craddock;J. Leendertz;A. Preece

  • A Comprehensive Study of Activity Recognition using Accelerometers

    Niall Twomey;Tom Diethe;Xenofon Fafoutis;Atis Elsts

  • Wideband microstrip patch antenna design for breast cancer tumour detection

    R Nilavalan;Ian J Craddock;AW Preece;JA Leendertz

  • Numerical investigation of breast tumour detection using multi-static radar

    R Nilavalan;A Gbedemah;Ian J Craddock;X Li

  • Clinical trials of a UWB imaging radar for breast cancer

    M. Klemm;I. J. Craddock;J. A. Leendertz;A. Preece

  • N2D: (Not Too) Deep Clustering via Clustering the Local Manifold of an Autoencoded Embedding

    Ryan McConville;Raul Santos-Rodriguez;Robert J Piechocki;Ian Craddock

  • Time-Domain Wideband Adaptive Beamforming for Radar Breast Imaging

    Dallan Byrne;Ian J. Craddock

  • Clinical trials of a multistatic UWB radar for breast imaging

    T. Henriksson;M. Klemm;D. Gibbins;J. Leendertz

  • Systematic Review Looking at the Use of Technology to Measure Free-Living Symptom and Activity Outcomes in Parkinson’s Disease in the Home or a Home-like Environment

    Catherine Morgan;Catherine Morgan;Michal Rolinski;Michal Rolinski;Roisin McNaney;Bennet Jones

  • A multi-modal sensor infrastructure for healthcare in a residential environment

    Przemyslaw Woznowski;Xenofon Fafoutis;Terence Song;Sion Hannuna

  • A comparative study of pose representation and dynamics modelling for online motion quality assessment

    Lili Tao;Adeline Paiement;Dima Damen;Majid Mirmehdi

  • An Ultra Low Power Personalizable Wrist Worn ECG Monitor Integrated With IoT Infrastructure

    Christopher Beach;Sammy Krachunov;James Pope;Xenofon Fafoutis

  • SPHERE: A sensor platform for healthcare in a residential environment

    Pete R Woznowski;Alison B Burrows;Tom Diethe;Xenofon Fafoutis

Frequent Co-Authors

Robert J. Piechocki
Robert J. Piechocki University of Bristol
Siyuan Yu
Siyuan Yu Sun Yat-sen University
John Rarity
John Rarity University of Bristol
Majid Mirmehdi
Majid Mirmehdi University of Bristol
Dima Damen
Dima Damen University of Bristol
Peter A. Flach
Peter A. Flach University of Bristol
Ian H. White
Ian H. White University of Bath
Richard V. Penty
Richard V. Penty University of Cambridge
Karl Woodbridge
Karl Woodbridge University College London
Lynn Rochester
Lynn Rochester Newcastle University

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